Noisy and non-stationary power quality disturbance classification based on adaptive segmentation empirical wavelet transform and support vector machine.
Poras KhetarpalNeelu NagpalHassan Haes AlhelouPierluigi SianoMohammed S. Al-NumayPublished in: Comput. Electr. Eng. (2024)
Keyphrases
- non stationary
- power quality disturbance
- wavelet transform
- support vector machine
- adaptive algorithms
- multiscale
- decision trees
- signal processing
- multiresolution
- machine learning
- support vector
- support vector machine svm
- classification accuracy
- feature extraction
- probabilistic neural network
- image compression
- lifting wavelet
- wavelet coefficients
- feature vectors
- pattern recognition
- power quality
- training data
- autoregressive
- high frequency
- wavelet domain
- empirical mode decomposition
- edge detection
- subband
- image segmentation
- feature selection
- noisy environments
- feature set
- hidden markov models
- training set
- feature space